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ETL Developer

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Onsite

ETL Developer

Niva Bupa

ETL Developer

Skills

SQL QueriesData MiningTesting & QAPostgreSQLMySQLOracleTalendCompliance

1 month ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

17 September 2026

What they need


Role & responsibilities

Design, develop and optimized ETL/ELT pipelines: -

  • Utilized Talend to create efficient data work flow that caters to organizational needs end-to-end ETL processes using Talend Open Studio or Talend Data Integration tools.

Data Management: -

  • Implement data Extraction, transformation, and loading process from a wide variety of source systems (e.g., SQL,oracle, flat files, APIs, cloud services).
  • Should be able to transform structure /unstructured data into logical model

Data Quality Assurance: -

  • Ensure data accuracy, integrity and performance during large scale integrations
  • Ensure data integrity, quality, and compliance with governance standards.

Performance Tuning: -

  • Optimize Talend jobs for performance and scalability.
  • Monitor and troubleshoot existing ETL jobs and resolve issues in a timely manner.
  • Implement best practices for data quality, logging, and error handling.
  • Handle production support and debugging of Talend jobs and workflows.

Collaboration:

  • Collaborate with business analysts, other data engineers, and stakeholders to gather requirements and deliver high-quality data solutions.
  • Maintain detailed documentation for all ETL processes and data flows.

Document data mappings, workflows, and transformation logic

Preferred candidate profile

  • Talend certification (e.g., Talend Data Integration v7 Certified Developer)

  • Bachelors degree in Computer Science, Information technology or related field

  • Strong hands on experience with Talend Data integration for both ETL/ETL (minimum 3-5) years of experience.

  • Advance expertise in PL/SQL and experience with data base tuning (Oracle, SQL Server, PostgreSQL, MySQL, etc.).

  • Experience with data warehousing concepts and dimensional modeling.

  • Excellent problem-solving, debugging, and communication skills.

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